A transient analysis of three-dimensional heat and mass transfer in a molten carbonate fuel cell at start-up

Ramandi, M.Y.; Dinçer, İbrahim; Berg, Peter

doi:10.1016/j.ijhydene.2014.03.082

Cited by 16 publications

(6 citation statements)

References 23 publications

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“…Hydrogen is a very promising fuel for fuel cell applications [13,18,29,22]. A plant that would store electrical energy in chemical energy (hydrogen) at low demand and generate electricity during demand peak hours seems an interesting alternative.…”

Section: Introductionmentioning

confidence: 99%

Modeling of a hydrogen storage tank charging process

Milewski,

Szczesniak,

Dybiński

et al. 2023

Preprint

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The paper presents a 0-D model of a hydrogen storage tank which is calibrated based on available experimental data. The results obtained are used for operation estimates of higher volume tanks. Increased volume should make hydrogen storage easier, and additional improvements can be made by appropriate selection of the inlet valve and thicker tank walls. It seems justifiable to increase both operating and filling pressures, due to the relatively small energy profits and much more complex charging process. Based on the energy balance, the charging process is endothermic. Neither Joule-Thomson heat nor kinetic energy of the hydrogen discharged allow one to obtain the high temperature reported. There is no experimental data with adequate quality to validate a high-volume storage hydrogen tank. Since the available data correspond to small size tanks and frequently contain contradictions, further experimental investigations are needed in the field.

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Section: Introductionmentioning

confidence: 99%

Modeling of a hydrogen storage tank charging process

Milewski,

Szczesniak,

Dybiński

et al. 2023

Preprint

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“…Fossil fuel consumption and emissions may be reduced by using solar-based technologies. For electricity generation, solar energy may be used directly (PV panels) or indirectly utilizing biofuels [2][3][4] applying, for example, fuel cell technology which additionally features high efficiency due to the direct transformation of chemical energy into electricity [5][6][7][8][9][10][11][12][13][14]. However, the largest market for solar energy is now connected with the absorption of solar radiation into heat up media that are flowing through solar collectors.…”

Section: Introductionmentioning

confidence: 99%

External Control Strategy for Seasonal Thermal Energy Storage Operation

Milewski

Dybiński

Szczęśniak

2023

36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 20

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The paper presents the results of using an external control strategy to optimize seasonal thermal energy storage (STES). Literature studies have been carried out related to design and optimization of the STES. Two STES configurations were considered with adequate constraints. The objective function was defined as minimum operational costs of the entire system. A structural external strategy is proposed which optimizes all heat flows based on the simplex method (Solver(R)). Simulations of system operation were carried out with and without the proposed external strategy for randomly generated outside temperatures in a 5-year horizon.

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“…Fossil fuel consumption and emissions may be reduced by using solar-based technologies. For electricity generation, solar energy may be used directly (photovoltaic panels) or indirectly utilizing biofuels [5,12,27] applying, for example, fuel cell technology which additionally features high efficiency due to the direct transformation of chemical energy into electricity [1,6,10,15,17,19,23,24,26]. Small combined heat and power (CHP) systems may become efficient sulutions.…”

Section: Introductionmentioning

confidence: 99%

Analysis of nodalization effects on the prediction error of generalized finite element method used for dynamic modeling of hot water storage tank

Wołowicz

Kupecki

Wawryniuk

et al. 2015

Archives of Thermodynamics

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The paper presents dynamic model of hot water storage tank. The literature review has been made. Analysis of effects of nodalization on the prediction error of generalized finite element method (GFEM) is provided. The model takes into account eleven various parameters, such as: flue gases volumetric flow rate to the spiral, inlet water temperature, outlet water flow rate, etc. Boiler is also described by sizing parameters, nozzle parameters and heat loss including ambient temperature. The model has been validated on existing data. Adequate laboratory experiments were provided. The comparison between 1-, 5-, 10- and 50-zone boiler is presented. Comparison between experiment and simulations for different zone numbers of the boiler model is presented on the plots. The reason of differences between experiment and simulation is explained.

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A transient analysis of three-dimensional heat and mass transfer in a molten carbonate fuel cell at start-up

Cited by 16 publications

References 23 publications

Modeling of a hydrogen storage tank charging process

Modeling of a hydrogen storage tank charging process

External Control Strategy for Seasonal Thermal Energy Storage Operation

Analysis of nodalization effects on the prediction error of generalized finite element method used for dynamic modeling of hot water storage tank

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